71 research outputs found

    Manufacturing automation : metal cutting mechanics, machine tool vibrations, and CNC design / Yusuf Altintas.

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    engineering bookfair2015Includes bibliographical references and index.xii, 366 pages :"Metal cutting is a widely used method of producing manufactured products. The technology of metal cutting has advanced considerably along with new materials, computers, and sensors. This new edition treats the scientific principles of metal cutting and their practical application to manufacturing problems. It begins with metal cutting mechanics, principles of vibration, and experimental modal analysis applied to solving shop floor problems. Notable is the in-depth coverage of chatter vibrations, a problem experienced daily by manufacturing engineers. The essential topics of programming, design, and automation of CNC (computer numerical control) machine tools, NC (numerical control) programming, and CAD/CAM technology are discussed. The text also covers the selection of drive actuators, feedback sensors, modeling and control of feed drives, the design of real time trajectory generation and interpolation algorithms, and CNC-oriented error analysis in detail. Each chapter includes examples drawn from industry, design projects, and homework problems. This book is ideal for advanced undergraduate and graduate students, as well as practicing engineers"--Provided by publisher

    Bouwlogistiek 2.0: Een onderzoek naar de toepasbaarheid van innovatieve bouwlogistieke concepten in binnenstedelijke projecten en de voor- en nadelen van deze concepten vanuit een efficiëntie perspectief

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    Een onderzoek naar de toepasbaarheid van innovatieve bouwlogistieke concepten in binnenstedelijke projecten en de voor- en nadelen van deze concepten vanuit een efficiëntie perspectief.Design & Construction ManagementReal Estate & HousingArchitectur

    Topology of soft cone metric spaces

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    International Conference on Functional Analysis in Interdisciplinary Applications (FAIA) -- OCT 02-05, 2017 -- Astana, KAZAKHSTANIn Simsek's paper it was introduced a concept of soft cone metric space via soft elements and some fixed point theorems in soft cone metric space were provided. In this work, we examine topological structures such as open ball, soft neighbourhood and soft open set in soft metric spaces and their some properties, and prove that every soft cone metric space under some condition is a soft topological space according to elementary operations on soft sets.Kyrgyz Turkish Manas University [KTMUBAP-2016.FBE.12]This work is supported by Kyrgyz Turkish Manas University in the framework of Scientific Research Projects (KTMUBAP-2016.FBE.12)

    Virtual High Performance Machining

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    AbstractThe goal of current research is to develop digital models of all steps in the manufacturing of parts. This paper presents an overview of digital machining of parts in virtual environment. It is based on research and development of digital models in machining parts. The tool – part intersection along the tool path is evaluated at discrete steps, which are then used to calculate chip area, cutting load, torque-power-energy drawn from the machine and the detection of chatter occurrence. The dynamics of the CNC system are incorporated to the digital model in order to estimate the true tangential feed and machining cycle time. The tangential feeds are automatically optimized by considering the tool breakage, spindle torque-power, and tool deflection limits set by the process planner. The virtual machining system can be used independently or as an integral part of CAM systems such as Siemens NX. Sample applications of the virtual high performance machining system in aerospace industry are presented

    In Search Of New Definition In The Postmodern Era: Graphic Designer As An Author

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    Modernizmin zorunlu getirisi olarak metnin ve içeriğin üreticisi olmaktan çok, görsel iletişim aracısı konumunda durmuş olan grafik tasarımcılar, 1970’li yıllara gelindiğinde içeriğin şeffaf iletkeni görevini üstelenen modernist tasarım anlayışının reddiGraphic designers, who have stood in the position of visual communication mediator rather than being the producer of text and content as a necessary reTurkishn of modernism, started to Turkishn towards design tendencies independent of the customer and pe

    The Problem of Allah's Persecution to the Creature According to Ibnu'I-Humam es-Sivasi (d: 861/1456)

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    The 'evil' is a phenomenon in this world. All the religions and philosophies deal with this matter to solve it. Kelam, Islamic Theology, also takes the problem through the context of Allah's acts. Islamic Theologians in the matter of Allah's persecution to the creature depend on to the division of creature, that is creature that has responsibility and that has not any responsibility. Ibnu'I-Humam es-Sivasi is one of the Islamic Theologians who examined this subject. Ibnu'I-Humam emphasize to that the creature like animals, insane people, and children that has no responsibility will have meed in the Ahiret (after life) according to that we do not know, if they get any persecution. Furthermore, the author favors that the sufferings which both the responsible and non-responsible creature came across will be a kind of lesson and test for the kith and kin and these sufferings will be beneficial

    Runtime Verification of Scientific Codes Using Statistics

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    AbstractRuntime verification of large-scale scientific codes is difficult because they often involve thousands of processes, and generate very large data structures. Further, the programs often embody complex algorithms making them difficult for non-experts to follow. Notably, typical scientific codes implement mathematical models that often possess predictable statistical features. Therefore, incorporating statistical analysis techniques in the verification process allows using program's state to reveal unusual details of the computation at runtime. In our earlier work, we proposed a statistical framework for debugging large-scale applications. In this paper, we argue that such framework can be useful in the runtime verification process of scientific codes. We demonstrate how two production simulation programs are verified using statistics. The system is evaluated on a 20,000-core Cray XE6

    Variance-reduced HMM for Stochastic Slow-fast Systems

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    AbstractWe propose a novel variance reduction strategy based on control variables for simulating the averaged equation of a stochastic slow-fast system. In this system, we assume that the fast equation is ergodic, implying the existence of an invariant measure, for every fixed value of the slow variable. The right hand side of the averaged equation contains an integral with respect to this unknown invariant measure, which is approximated by the heterogeneous multiscale method (HMM). The HMM method corresponds to a Markov chain Monte Carlo method in which samples are generated by simulating the fast equation for a fixed value of the slow variable. As a consequence, the variance of the HMM estimator decays slowly. Here, we introduce a variance-reduced HMM estimator based on control variables: from the current time HMM estimation, we subtract a second HMM estimator at the previous time step using the same seed as the current time HMM estimator. To avoid introducing a bias, we add the previously calculated variance-reduced estimator. We analyze convergence of the proposed estimator and apply it to a linear and nonlinear model

    Processing High-volume Geospatial Data: A Case of Monitoring Heavy Haul Railway Operations

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    AbstractSensor technology such as GPS can be used in the mapping of transportation networks (e.g., road, rail). However, GPS suffers from errors in positional accuracy due to factors such as signal arrival time. In railway systems, positional accuracy is of utmost importance to iden- tify state of track and wagons for safety and maintenance. Along with GPS, the numerous lightweight sensors installed in each wagon produce a high-velocity geospatial data that needs to be processed continuously and the traditional data processing and storage applications can not handle it. We propose efficient algorithms and a suitable data structure to achieve rapid and accurate location mappings. Our large-scale evaluation demonstrates that the system is accurate and capable of real-time performance
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